THE ACCESSIBILITY ANALYSIS OF COVID-19 REFERRAL HOSPITALS TO THE LOCATION OF FUNDAMENTAL STUDENT

The Covid-19 pandemic that occurred in all parts of the world has had an impact on the various sectors. Not only in the economic sector but also in the educational sector. Until Month June Year 2020, the Indonesian government had carried out a new-normal policy. The purpose of the study was to analyze the affordability of the Covid-19 referral hospital to the position of students during the new-normal era. The affordability could be observed by the distance traveled by students to the nearest Covid-19 referral hospital. This study used the OD matrix layer from ArcMap 10.3. The sample used in this study was 87 students with 11 Covid-19 referral hospitals in East Nusa Tenggara Province. Based on the research results in the form of maps produced, showed that from 87 students observed, only 59 or 67.82% could reach the Covid-19 referral hospitals. Meanwhile, the other 28 students or 32.18% couldn’t be reached by the hospitals. The amount of students observed, located less than 15 km from the Covid-19 referral hospitals were 35 or 40.22% from the total of 87 students. The hospital which students refer to based on their location was the WZ. Yohanes hospital.


A. INTRODUCTION
Covid-19 is a problem experienced by most countries in the world.Corona virus disease 19  has developed into a catastrophic pandemic with over millions of confirmed cases worldwide (Glass et al., 2020).Between January and April 2020, the epidemic turned into a global pandemic from its origin center in Wuhan, China, reaching most countries around the world (Dryhurst et al., 2020).
Covid-19 pandemic has spread fast almost all countries in the world including Indonesia (Syuhada et al., 2021).The cases Covid-19 in Indonesia until the date of 30 September 2020 confirmed were 291,000 cases, with a mortality rate of 10,856 cases (BNPB, 2020).This shows the mortality rate in Covid-19 cases in Indonesia is   (Maucourant et al., 2020).Symptoms such as fever or cough, and signs such as oxygen saturation or lung auscultation findings, are the first diagnostic information regarding this disease, further diagnostic testing used from this information (Emperador et al., 2020).Further testing used a swab test to find out viral RNA using a sample usually obtained from the respiratory tract with a nasopharyngeal swab (Watson, n.d.).
The Covid-19 pandemic has also rocked the education sector, and this fear is likely to reverberate across the education sector globally by forcing many schools and colleges to temporarily closed (Dhawan, 2020).As a step to OD Matrix is the core data and prerequisite for traffic planning and management (Lu et al., 2016).The OD method is used for cases where the supply pattern in terms of velocity and current is available (Krishnakumari et al., 2020).
The parameters used in conducting the OD Matrix Layer were the main road, the Covid-19 referral hospital, and the location of the student.To identify the main obstacle to hospital affordability and its solution, questionnaires were distributed among students.

C. RESULTS AND DISCUSSION
Before doing the OD Matrix Layer analysis, it is necessary to know the location of the student, the location of the referral hospital, and the road network.

Student Location
The location is known when students filled out the questionnaire on the link that had already given by the researchers, thus known as the distribution location.After that, analysis by using the OD Matrix Layer analysis was conducted.
From the results of the analysis a map layout then was made, the results are as follows:    Government could strengthen the role of community health centers such as "puskesmas" since it is the health service center that is closest to the people.
3.73%.East Nusa Tenggara Province, one of the provinces in Indonesia, impacted from the Covid-19 pandemic.Until the date of September 30th, Year 2020, there were 424 cases of Covid-19 in the Province of East Nusa Tenggara.The confirmed Covid-19 cases in each district in the Province of East Nusa Tenggara has difference in amount.This amount can be seen in the following table.
2020).It also causes Nusa Cendana University rectors to issue a policy to implement online learning activities.Online learning carried out by students, currently causes many students to return to their respective home.The high level of confirmed cases Covid-19 in the Province of East Nusa Tenggara with the level of different cases in each country provides its anxiety for students.Meanwhile, the Covid-19 referral hospital available in East Nusa Tenggara Province is only 11 hospitals.The level of coverage of the Covid-19 referral hospital that has been determined by the government certainly helps students who are return to their respective hometowns.However, the geographic condition of East Nusa Tenggara Province, which is mostly in the form of islands, certainly poses a challenge to the affordability of the hospitals to the current student positions.This study aims to determine the affordability of the Covid-19 referral hospital to student locations and to observe the mileage of students to the location of the nearest hospital.B. MATERIALS AND METHODSThisresearch is descriptive quantitative research.The research is located in East Nusa Tenggara Province.The population used is the Geography Education Form 3A 2019 data with a total of 671 students.For sampling, the Slovin formula (Purwanto; et al., 2019) was used: Based on the calculation, the amount sample acquired was 87 students out of 671 in total.Data were collected in this study through a questionnaire posted online by using Kobotoolbox.The researcher sent a link contains questionnaire to each respondent to be filled out as a feed back to the questionnaire.The OD Matrix Layer analysis was used to analyze the parameters which had already collected.

Table 1 .
Number of Covid-19 Cases in Each Regency in East Nusa Tenggara Province Until September 30, 2020

Table 3 .
Destination Rank

Table 4 .
Information of the Affordability Covid-19 Referral Hospitals to Student Locations.

Table 5 .
The Distance of Student Location from the Nearest Covid-19